Mathematical model, technique and computer tools for the process of growing of semiconductors by the bridgman method
DOI:
https://doi.org/10.15587/1729-4061.2015.40787Keywords:
semiconductors, CdTe, Bridgman method, process modeling, self-adaptive computer toolsAbstract
As a result of the research, based on the analysis of experimental studies, an adequate physical model for the processes of phase transformation of the CdTe crystal melt was found and its qualitative and quantitative evaluation was carried out. The technique and technical solutions for adaptive control and improvement of the crystal growth process using fuzzy logic methods, which has allowed to predict the critical and incorrect system states, including the lack of crystallization and onset of the supercooled melt condition, and, therefore, save time and money on repeated experiments was proposed. The approaches to creating technical computer tools for intelligent process control, which has allowed to improve the reproducibility of crystal parameters and predict the process flow correctness, as well as reduce the cost of the synthesized material were determined. Already on the synthesis stage, crystal cooling process monitoring has allowed to predict the generation probability of additional monoblocks and assess their characteristic sizes. The synthesis technique and structural and algorithmic solution of intelligent self-adaptive computer tools, built in the process system for improving the control process of furnaces for growing CdTe crystals by the Bridgman method were developed.
References
- Lachish, U. CdTe and CdZnTe Crystal Growth and Production of Gamma Radiation Detectors. Available at: http://urila.tripod.com/crystal.htm
- Shlyakhov, I. N. (2012). Application of detectors based on semiconductor compounds CdTe and CdZnTe for analysis sources of g-radiation. Kharkiv National University of Radio Electronics, 20.
- New Economic PID controller OWEN TRM500. Available at: http://www.svaltera.ua/press-center/news/8798.php
- Pekurovskyy, G. V., Barabash, A. V. (2012). Setting PID controller with adaptive synthesis of automatic control active vibration compensation. Weapons systems and military equipment, 4 (32), 139–142.
- Petrenko, V. R. (2009). Automation of managment by the technological processes to produce bulk Cz-Si single crystals. National Technical University of Ukraine "Kyiv Polytechnic Institute, 39.
- Moskalenko, V. V. (2014). The intelligent system of support decision for automation of growing of scintillation monocrystals from the melt. Kharkiv, 16.
- Bolchini, C., Carminati, M., Miele, A., Quintarelli, E. (2013). A Framework to Model Self-Adaptive Computing Systems. Proc. NASA/ESA Conference on Adaptive Hardware and Systems, 71–78. doi: 10.1109/ahs.2013.6604228
- Cámara, J., de Lemos, R., Ghezzi, C., Lopes, A. (2013). Assurances for Self-Adaptive Systems: Principles, Models, and Techniques. Verlag, Berlin, Heidelberg, 7740, 340.
- Rajkumar, R., Insup, L., Lui, S., Stankovic, J. (2010). Cyber-Physical Systems: The Next Computing Revolution. Design Automation Conference (DAC), 2010 47th ACM/IEEE, Anaheim, USA, 731–736.
- Bell, R. O., Toulemonde, M., Siffert, P. (1979). Calculated Temperature Distribution During Laser Annealing in Silicon and Cadmium Telluride. Applied Physics, 19 (3), 313–319. doi: 10.1007/bf00900475
- Zhvavy, S. P., Zykov, G. L. (2006). Numerical modeling of dynamics of phase transitions in CdTe, initiated by nanosecond excimer laser radiation. Semiconductor Physics and Technology, 40 (6), 652–655.
- Zanio, K. (1978). Semiconductors and Semimetals. Vol. 13. Cadmium Telluride. N. Y.: Academic Press. doi: 10.1016/s0080-8784(08)60064-2
- Rogov, R. V., Vorobets, G. I., Vorobets, A. I. (2012). Structural and logical organization of the server software to manage technological networks. Electrical and computer systems, 05 (81), 205–208.
- Mazurenko, M. I., Kharchenko, V. S., Gorbenko, A. V. (2014). WEB- system dynamical reconfiguration based on metric analysis of vulnerability databases OTS-components. Radioelectronic and computer systems, 5 (69), 135–139.
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Copyright (c) 2015 Георгій Іванович Воробець, Роман Вікторович Рогов, Олег Вадимович Копач
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